Dontopedia

logs

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

logs has 20 facts recorded in Dontopedia across 6 references, with 2 live disagreements.

20 facts·12 predicates·6 sources·2 in dispute

Mostly:rdf:type(6), receives matched events(1), receives from(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (8)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

targetsIndexTargets Index(4)

configuresIndexConfigures Index(1)

createsIndexCreates Index(1)

outputsToIndexOutputs to Index(1)

targetsTargets(1)

Other facts (17)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

17 facts
PredicateValueRef
Rdf:typeElasticsearch Index[1]
Rdf:typeDatabase Index[2]
Rdf:typeElasticsearch Index[3]
Rdf:typeElasticsearch Index[4]
Rdf:typeElasticsearch Index[5]
Rdf:typeElasticsearch Index[6]
Receives Matched Eventstrue[3]
Receives FromElasticsearch Matched[3]
Is Distinct FromLogs Unmatched Index[3]
Is Used formatched-events[3]
Is Different FromLogs Unmatched Index[3]
Storesmatched-log-events[3]
Is Primary Indextrue[3]
InverseEs.search[5]
Belongs toElasticsearch[6]
UsesElasticsearch Api[6]
Is Target ofSettings Api Call[6]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

typebeam/0c1ec86d-4c83-4078-8a78-061d18351379
ex:ElasticsearchIndex
typebeam/3b614581-159c-4b22-9589-288c866db252
ex:DatabaseIndex
receivesMatchedEventsbeam/4c16b8f7-02fb-436a-b7af-07c763e03ede
true
typebeam/4c16b8f7-02fb-436a-b7af-07c763e03ede
ex:ElasticsearchIndex
labelbeam/4c16b8f7-02fb-436a-b7af-07c763e03ede
Logs Index
receivesFrombeam/4c16b8f7-02fb-436a-b7af-07c763e03ede
ex:elasticsearch-matched
isDistinctFrombeam/4c16b8f7-02fb-436a-b7af-07c763e03ede
ex:logs_unmatched-index
isUsedForbeam/4c16b8f7-02fb-436a-b7af-07c763e03ede
matched-events
isDifferentFrombeam/4c16b8f7-02fb-436a-b7af-07c763e03ede
ex:logs_unmatched-index
storesbeam/4c16b8f7-02fb-436a-b7af-07c763e03ede
matched-log-events
isPrimaryIndexbeam/4c16b8f7-02fb-436a-b7af-07c763e03ede
true
typebeam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86
ex:ElasticsearchIndex
labelbeam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86
logs index
typebeam/140a4b27-e76f-488e-90e4-c043718c0aff
ex:ElasticsearchIndex
inversebeam/140a4b27-e76f-488e-90e4-c043718c0aff
ex:es.search
typebeam/955c7d8a-4e54-4841-8759-1597ba83080c
ex:ElasticsearchIndex
labelbeam/955c7d8a-4e54-4841-8759-1597ba83080c
logs
belongs-tobeam/955c7d8a-4e54-4841-8759-1597ba83080c
ex:elasticsearch
usesbeam/955c7d8a-4e54-4841-8759-1597ba83080c
ex:elasticsearch-api
is-target-ofbeam/955c7d8a-4e54-4841-8759-1597ba83080c
ex:settings-api-call

References (6)

6 references
  1. ctx:claims/beam/0c1ec86d-4c83-4078-8a78-061d18351379
    • full textbeam-chunk
      text/plain1 KBdoc:beam/0c1ec86d-4c83-4078-8a78-061d18351379
      Show excerpt
      "number_of_replicas": 0 } } # Create index es.indices.create(index="logs", body=settings) # Ingest logs for log in logs: es.index(index="logs", body=log) ``` Can you review this code and suggest any improvements to increas
  2. ctx:claims/beam/3b614581-159c-4b22-9589-288c866db252
  3. ctx:claims/beam/4c16b8f7-02fb-436a-b7af-07c763e03ede
    • full textbeam-chunk
      text/plain1 KBdoc:beam/4c16b8f7-02fb-436a-b7af-07c763e03ede
      Show excerpt
      drop_event => true # Optionally drop the event if it doesn't match } } output { # Output matched events to Elasticsearch if "grok_matched" in [tags] { elasticsearch { hosts => ["localhost:9200"] index => "logs"
  4. ctx:claims/beam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86
    • full textbeam-chunk
      text/plain1 KBdoc:beam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86
      Show excerpt
      Ensure your queries are optimized for performance. 1. **Use Efficient Query Types**: Prefer `term` and `terms` queries over `match` and `match_phrase` queries when possible. ```json { "query": { "bool": { "mu
  5. ctx:claims/beam/140a4b27-e76f-488e-90e4-c043718c0aff
    • full textbeam-chunk
      text/plain1003 Bdoc:beam/140a4b27-e76f-488e-90e4-c043718c0aff
      Show excerpt
      2. **Check Slow Logs**: Enable slow log profiling to identify any slow queries and ensure they are not affected by the excluded fields. ### Example Code Here is an example of how you might optimize your query and Elasticsearch settings
  6. ctx:claims/beam/955c7d8a-4e54-4841-8759-1597ba83080c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/955c7d8a-4e54-4841-8759-1597ba83080c
      Show excerpt
      ### 4. **Size of Caches** The sizes of these caches can be specified as a percentage of the heap or in bytes. Adjusting these values can help balance memory usage and performance. ```json PUT /logs/_settings { "index.cache.query.size":

See also

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